AI agents call get_page_content to retrieve information from Onenote without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves existing data from OneNote pages without creating, modifying, deleting, or executing operations. It is a straightforward read operation with minimal blast radius if misused by an AI agent—the worst outcome is unauthorized access to stored notes, but no data is altered, deleted, or at financial risk.
From the tool's definition Tool name is 'get_page_content' and server description states 'Enables natural language access to Microsoft OneNote notebooks, sections, and pages for reading and listing content.' The tool retrieves page content with no modification capability.
Documented attack patterns abuse exactly the kind of access get_page_content gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Onenote, and nothing reaches the server without passing your rules. This is the rule we recommend for get_page_content:
{
"version": "1",
"default": "deny",
"tools": {
"get_page_content": {}
}
}get_page_content is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the content of a specific page. It is categorised as a Read tool in the Onenote MCP Server, which means it retrieves data without modifying state.
Register the Onenote MCP server in PolicyLayer and add a rule for get_page_content: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Onenote. Nothing to install.
get_page_content is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_page_content rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_page_content. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_page_content is provided by the Onenote MCP server (purpleslurple/onenote-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 Onenote tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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12 Onenote tools catalogued and risk-classified — across an index of 42,500+ MCP servers.